基于二维伽马函数的光照不均匀图像自适应校正算法  

Adaptive Adjustment Algorithm for Non-Uniform Illumination Images Based on 2D Gamma Function

作　　者：刘志成[1] 王殿伟[2] 刘颖[2] 刘学杰[3] 

机构地区：[1]太原工业学院自动化系,山西太原030008 [2]西安邮电大学通信与信息工程学院,陕西西安710121 [3]中国人民公安大学人文社科部,北京100038

出　　处：《北京理工大学学报》2016年第2期191-196,214,共7页Transactions of Beijing Institute of Technology

基　　金：国家自然科学基金青年基金资助项目(61202183);公安部科技强警基础工作专项资助项目(2014GABJC024);陕西省自然科学基础研究计划资助项目(2015JM6350);陕西省教育厅专项科研计划资助项目(14JK1680)

摘　　要：提出了一种基于二维伽马函数的光照不均匀图像自适应校正算法.利用多尺度高斯函数提取出场景的光照分量,然后构造了一种二维伽马函数,并利用光照分量的分布特性调整二维伽马函数的参数,降低光照过强区域图像的亮度值,提高光照过暗区域图像的亮度值,最终实现对光照不均匀图像的自适应的校正处理.通过与经典算法对比表明,本文算法可以更好地降低光照不均匀对图像的影响,提高图像的质量.An adaptive adjustment algorithm for non-uniform illumination images based on 2D Gamma function was proposed in this paper.At first the reflection component was extracted by multi-scale Gaussian functions.Then a 2D Gamma function fed by the local characteristic of reflection component was constructed to decrease the intensity at the bright region and increase the intensity at the dark region in the luminance domain.Finally the non-uniform illumination images was corrected adaptively by the proposed algorithm.Experimental results show that the proposed algorithm has better performance in reducing the impaction caused by non-uniform illumination and enhancing the quality of the images.

关 键 词：图像增强 光照不均匀 二维伽马函数 多尺度高斯函数 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]